metadata

title: Should I follow?
emoji: 🦄
colorFrom: pink
colorTo: yellow
sdk: streamlit
sdk_version: 1.17.0
app_file: app.py
pinned: false

Should I Follow?

Try it out on 🤗 Spaces

A simple app to get an overview of what the twitter user has been posting about and their tone

This is a demo just for fun 🥳 This repo contains a streamlit application that given a Twitter username, tells you what type of things they've been posting about lately, their tone, and the languages they use. It uses the LLM by OpenAI text-davinci-003.

It's been built with Haystack using the PromptNode and by creating a custom PromptTemplate

https://user-images.githubusercontent.com/15802862/220464834-f42c038d-54b4-4d5e-8d59-30d95143b616.mov

Points of improvement

Since we're using a generative model here, we need to be a bit creative with the prompt we provide it to minimize any hallucination or similar unwanted results. For this reason, I've tried to be a bit creative with the PromptTemplate and give some examples of how to construct a summary. However, this still sometimes produces odd results.

If you try to run it yourself and find ways to make this app better, please feel free to create an issue/PR 🙌

To learn more about the PromptNode

Check out our tutorial on the PromptNode and how to create your own templates here

Installation and Running

To run the bare application which does nothing:

Install requirements: pip install -r requirements.txt
Run the streamlit app: streamlit run app.py
Createa a .env and add your Twitter Bearer token: TWITTER_BEARER_TOKEN

This will start up the app on localhost:8501 where you will dind a simple search bar

Spaces:

deepset
/

should-i-follow

Running